optical turbulence
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2022 ◽  
Author(s):  
Matthew Kalensky ◽  
Eric J. Jumper ◽  
Stanislav Gordeyev

2021 ◽  
Author(s):  
Artem Y. Shikhovtsev ◽  
Lanqiang Zhang ◽  
Xian Ran ◽  
Alexander Kiselev ◽  
Changhui Rao ◽  
...  

2021 ◽  
Vol 11 (22) ◽  
pp. 10548
Author(s):  
Manman Xu ◽  
Shiyong Shao ◽  
Ningquan Weng ◽  
Liangping Zhou ◽  
Qing Liu ◽  
...  

Due to the space and time constraints of turbulence measurement equipment and the experiment scene, it is difficult to obtain the atmosphere refractive index structure constant over the ocean. In this paper, the characteristics of atmospheric optical turbulence in offshore and open ocean conditions are summarized by analyzing the meteorological data obtained from two ocean atmospheric optical parameter field experiments. Because of the influence of land undersurface, the turbulence strength in offshore conditions is roughly the same as that on land and presents different characteristics in open ocean. Compared with the offshore area, the turbulence strength over the open ocean near-surface decreases during the day and increases at night, and the diurnal variation characteristics weaken. The turbulence strength profiles over the offshore area show different characteristics at different times, where the turbulence strength in the morning is higher than that in the evening. By retrieving the meteorological factors affecting the turbulence, it is found that the temperature gradient and wind shear are in good agreement with turbulence strength in both offshore and open ocean areas. Furthermore, the integrated parameters for astronomy and optical telecommunication are derived from profiles over the offshore and open ocean areas. It is of great significance to research the turbulent characteristics of ocean atmosphere for optical transmission and astronomical observations.


2021 ◽  
Vol 38 (10) ◽  
pp. 1483 ◽  
Author(s):  
Qike Yang ◽  
Xiaoqing Wu ◽  
Su Wu ◽  
Yajuan Han ◽  
Changdong Su ◽  
...  

2021 ◽  
Vol 11 (18) ◽  
pp. 8523
Author(s):  
Manman Xu ◽  
Shiyong Shao ◽  
Qing Liu ◽  
Gang Sun ◽  
Yong Han ◽  
...  

A backpropagation neural network (BPNN) approach is proposed for the forecasting and verification of optical turbulence profiles in the offshore atmospheric boundary layer. To better evaluate the performance of the BPNN approach, the Holloman Spring 1999 thermosonde campaigns (HMNSP99) model for outer scale, and the Hufnagel/Andrew/Phillips (HAP) model for a single parameter are selected here to estimate profiles. The results have shown that the agreement between the BPNN approach and the measurement is very close. Additionally, statistical operators are used to quantify the performance of the BPNN approach, and the statistical results also show that the BPNN approach and measured profiles are consistent. Furthermore, we focus our attention on the ability of the BPNN approach to rebuild integrated parameters, and calculations show that the BPNN approach is reliable. Therefore, the BPNN approach is reasonable and remarkable for reconstructing the strength of optical turbulence of the offshore atmospheric boundary layer.


2021 ◽  
Vol 11 (18) ◽  
pp. 8487
Author(s):  
Olga Korotkova ◽  
Italo Toselli

Theoretical models and results of experimental campaigns relating to non-classic regimes occurring in atmospheric optical turbulence are overviewed. Non-classic turbulence may manifest itself through such phenomena as a varying power law of the refractive-index power spectrum, anisotropy, the presence of constant-temperature gradients and coherent structures. A brief historical introduction to the theories of optical turbulence, both classic and non-classic, is first presented. The effects of non-classic atmospheric turbulence on propagating light beams are then discussed, followed by the summary of results on measuring the non-classic turbulence, on its computer and in-lab simulations and its controlled synthesis. The general theory based on the extended Huygens–Fresnel method, capable of quantifying various effects of non-classic turbulence on propagating optical fields, including the increased light diffraction, beam profile deformations, etc., is then outlined. The review concludes by a summary of optical engineering applications that can be influenced by atmospheric non-classic turbulence, e.g., remote sensing, imaging and wireless optical communication systems. The review makes an accent on the results developed by the authors for the recent AFOSR MURI project on deep turbulence.


2021 ◽  
Author(s):  
William A. Jarrett ◽  
Svetlana Avramov-Zamurovic ◽  
Charles Nelson ◽  
Joel Esposito ◽  
Milo W. Hyde

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